Quantifying spatial scale of positive and negative terrains pattern at watershed-scale: Case in soil and water conservation region on Loess Plateau
- 59 Downloads
Abstract
The positive and negative terrains (P-N terrains) widely distributed across China’s Loess Plateau constitute the dual structure characteristic of loess landforms. Analysis of loess P-N terrains at the watershed scale can serve to elucidate the structural characteristics and spatial patterns of P-N terrains, which benefits a better understanding of watershed evolution and suitable scales for loess landform research. The Two-Term Local Quadrat Variance Analysis (TTLQV) is calculated as the average of the square of the difference between the block totals of all possible adjacent pairs of block size, which can be used to detect both the scale and the intensity of landscape patches (e.g., plant/animal communities and gully networks). In this study, we determined the latitudinal and longitudinal spatial scale of P-N terrain patterns within 104 uniformly distributed watersheds in our target soil and water conservation region. The results showed that TTLQV is very effective for examining the scale of P-N terrain patterns. There were apparently three types of P-N terrain pattern in latitudinal direction (i.e., Loess Tableland type, Loess Hill type, and Transitional Form between Sand and Loess type), whereas there were both lower and higher values for P-N terrain pattern scales in all loess landforms in the longitudinal direction. The P-N terrain pattern also clearly presented anisotropy, suggesting that gully networks in the main direction were well-developed while others were relatively undeveloped. In addition, the relationships between the first scales and controlling factors (i.e., gully density, nibble degree, watershed area, mean watershed slope, NDVI, precipitation, loess thickness, and loess landforms) revealed that the first scales are primarily controlled by watershed area and loess landforms. This may indicate that the current spatial pattern of P-N terrains is characterized by internal force. In selecting suitable study areas in China’ Loess Plateau, it is crucial to understand four control variables: the spatial scale of the P-N terrain pattern, the watershed area, the main direction of the watershed, and the loess landforms.
Keywords
Positive and negative terrains TTLQV Spatial pattern scale Loess landforms Loess PlateauPreview
Unable to display preview. Download preview PDF.
Notes
Acknowledgements
The research is supported by the National Natural Science Foundation of China (NO. 41201464, 41371424) and the Fundamental Research Funds for the Central Universities of China (GK201703042). The authors express their great thanks to everyone who have helped in the writing of this article, and they would like to thank the anonymous reviewers for their helpful reviews.
References
- Chen GW. (1994) Remote sensing investigation on the key control area of the resources and environment in the Loess Plateau. Publishing House of Electronics Industry, Beijing, China.Google Scholar
- Chen H, Cai Q. (2006) Impact of hillslope vegetation restoration on gully erosion induced sediment yield. Science in China Series D 49: 176–192. DOI: 10.1007/s11430-005-0177-4CrossRefGoogle Scholar
- Chen H, Tsui Y, Cai QG, Tham LG, Hu WS, Yue ZO, Huang JG. (2004) A study of landform morphologic relationships between hillslopes and gullies: taking small catchment of wangjiagou in west shanxi as a case. Geographical Research 23: 329–338. (In Chinese with English abstract)Google Scholar
- Chen JC, Jiang MQ (1986) Mathematical Model of Watershed Geomorphology. Science Press, pmBeijing, China.Google Scholar
- Dale MRT (1999) Spatial Pattern Analysis in Plant Ecology: Multispecies Pattern. Cambridge University Press: Cambridge.CrossRefGoogle Scholar
- Fu BJ, Chen LD (2000) Agricultural landscape spatial pattern analysis in the semi-arid hill area of the Loess Plateau, China. Journal of Arid Environments 44: 291–303 DOI: 10.1006/jare.1999.0600CrossRefGoogle Scholar
- Gao XD, Zhao XN, Wu PT, et al. (2016) Effects of large gullies on catchment-scale soil moisture spatial behaviors: A case study on the Loess Plateau of China. Geoderma 261: 1–10. DOI: 10.1016/j.geoderma.2015.07.001CrossRefGoogle Scholar
- Goodall DW (1974) A New Method for the Analysis of Spatial Pattern by Random Pairing of Quadrats. Vegetatio 29: 135–146. DOI: 10.1007/BF02389719CrossRefGoogle Scholar
- Greig-Smith P (1952) The Use of Random and Contiguous Quadrats in the Study of the Structure of Plant Communities. Annals of Botany 16: 293–316. DOI: 10.1093/oxfordjournals. aob.a083317CrossRefGoogle Scholar
- Greig-Smith P, Kershaw KA (1958) The significance of pattern in vegetation. Vegetatio 8: 189–192. DOI: 10.1007/BF00 301546Google Scholar
- Guo QH, Kelly M (2004) Interpretation of scale in paired quadrat variance methods. Journal of Vegetation Science 15: 763–770. DOI: 10.1111/j.1654-1103.2004.tb02319.xCrossRefGoogle Scholar
- Hill MO (1973) The Intensity of Spatial Pattern in Plant Communities. Journal of Ecology 61: 225–235. DOI: 10.2307/2258930CrossRefGoogle Scholar
- Huang YL, Chen LD, Fu BJ, Wang YL (2005) Spatial Pattern of Soil Water and its Influencing Factors in a Gully Watershed of the Loess Plateau. Journal of Natural Resources 20: 483–492. (in Chinese with English abstract)Google Scholar
- Jiang B (2013) Head/Tail Breaks: A New Classification Scheme for Data with a Heavy-Tailed Distribution. The Professional Geographer 65: 482–494. DOI: 10.1080/00330124.2012.700499CrossRefGoogle Scholar
- Jiao JY, Liu YB, Tang KL (1992) An approach to runoff and sediment generation of gully and intergully land in small watershed. Journal of Soil & Water Conservation 26: 24–28. (in Chinese with English abstract) DOI: 10.13870/j.cnki.st bcxb.1992.02.005Google Scholar
- Li ZW, Zhang GH, Geng R, Wang H (2015) Rill erodibility as influenced by soil and land use in a small watershed of the Loess Plateau, China. Biosystems Engineering 129: 248–257. DOI: 10.1016/j.biosystemseng.2014.11.002CrossRefGoogle Scholar
- Lu JF (2002) Effect of basin morphology on sediment yield in the middle reaches of the yellow river. Geographical Research 21: 171–178. (in Chinese with English abstract)CrossRefGoogle Scholar
- Ludwig JA, Goodall DW (1978) A Comparison of Paired-with Blocked-Quadrat Variance Methods for the Analysis of Spatial Pattern. Vegetatio 38: 49–59. DOI: 10.1007/BF00141298CrossRefGoogle Scholar
- Lv YH, Fu BJ (2001) Ecological scale and scaling. Acta Ecologica Sinica 21: 2096–2105. (in Chinese with English abstract).Google Scholar
- McGarigal K, Tagil S, Cushman SA (2009) Surface metrics: an alternative to patch metrics for the quantification of landscape structure. Landscape Ecology 24: 433–450. DOI: 10.1007/s10980-009-9327-yCrossRefGoogle Scholar
- Qin W, Cao WH, Zuo CQ, et al. (2015) Erosion and sediment yield model of big and middle scale watershed in loess plateau considering differentiation between upper and lower of the shoulder line of valleys. journal of Basic Science & Engineering 23: 12–29. (In Chinese with English abstract) DOI: 10.16058/j.issn.1005-0930.2015.01.002Google Scholar
- Strahler AN (1957) Quantitative analysis of watershed geomorphology. Eos, Transactions American Geophysical Union 38: 913–920. DOI: 10.1029/TR038i006p00913CrossRefGoogle Scholar
- Usher MB (1975) Analysis of Pattern in Real and Artificial Plant Populations. Journal of Ecology 63: 569–586. DOI: 10.2307/2258736CrossRefGoogle Scholar
- Vanmaercke M, Poesen J, Van Mele B, et al. (2016) How fast do gully headcuts retreat? Earth-Science Reviews 154: 336–355 DOI: 10.1016/j.earscirev.2016.01.009CrossRefGoogle Scholar
- Xin ZB, Yu XX, Lu XX (2011) Factors controlling sediment yield in China’s Loess Plateau. Earth Surface Processes and Landforms 36: 816–826. DOI: 10.1002/esp.2109CrossRefGoogle Scholar
- Yang F, Zhou Y, Chen M (2016) Loess Shoulder-line Constrained Method for Waterworn Gullies Extraction on Loess Plateau. Montain Research 34: 504–510. (In Chinese with English abstract) DOI: 10.16089/l.cnki.1008-2786.000156Google Scholar
- Zhang HY, Shi ZH, Fang NF, Guo MH (2015) Linking watershed geomorphic characteristics to sediment yield: Evidence from the Loess Plateau of China. Geomorphology 234: 19–27. DOI: 10.1016/j.geomorph.2015.01.014CrossRefGoogle Scholar
- Zhang T, Tang G, Liu X, et al. (2007) Multi-scale structure of channel network in Jiuyuangou drainage basin. Proceedings of SPIE-The International Society for Optical Engineering 6753: 67532O.1-67532O.9 DOI: 10.1117/12.761875Google Scholar
- Zhang ZH (1991) Soil Erosion Processes in the Loess Plateau of Northwestern China. GeoJournal 24: 195–200. DOI: 10.1007/BF00186016Google Scholar
- Zhao JL, Vanmaercke M, Chen LQ, Govers G (2016) Vegetation cover and topography rather than human disturbance control gully density and sediment production on the Chinese Loess Plateau. Geomorphology 274: 92–105. DOI: 10.1016/j.geomo rph.2016.09.022CrossRefGoogle Scholar
- Zhou CH, Cheng WM, Qian JK, et al. (2009) Research on the Classification System of Digital Land Geomorphology of 1:1000000 in China. Journal of Geo-Information Science. Journal of Geo-Information Science 11: 707–724. (In Chinese with English abstract)CrossRefGoogle Scholar
- Zhou Y, Tang GA, Yang X, et al. (2010) Positive and negative terrains on northern Shaanxi Loess Plateau. Journal of Geographical Sciences 20: 64–76. DOI: 10.1007/s11442-010-0064-6CrossRefGoogle Scholar
- Zuo D, Xu Z, Yao W, et al. (2016) Assessing the effects of changes in land use and climate on runoff and sediment yields from a watershed in the Loess Plateau of China. Science of the Total Environment 544: 238–50. DOI: 10.1016/j.scitotenv.2015.11.060CrossRefGoogle Scholar